facenet-pytorch
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How to train and return 128 embedding?
Previously I was working on the https://github.com/davidsandberg/facenet, but there is a limitation where the repo is base on tensorflow 1.x and latest hardware for Geforce 30 series and above is not supported in tensorflow 1.x. So I just wonder can I train from the scratch using this repo (pytorch version) and change the output dimension to 128 embeddings?